Several feedback control laws have appeared in the literature concerning th
e stabilization of the nonlinear Moore-Greitzer axial compression model. Mo
tivated by magnitude and rate limitations imposed by the physical implement
ation of the control law, Larsen et al. studied a dynamic implementation of
the S-controller suggested by Sepulchre and Kokotovic. They showed the pot
ential benefit of implementing the S-controller through a first-order lag:
while the location of the dosed-loop equilibrium achieved with the static c
ontrol law was sensitive to poorly known parameters, the dynamic implementa
tion resulted in a small limit cycle at a very desirable location, insensit
ive to parameter variations. In this paper, we investigate the more general
case when the control is applied with a time delay, This can be seen as an
extension of the model with a first-order lag. The delay can either be a r
esult of system constraints or be deliberately implemented to achieve bette
r system behavior. The resulting closed-loop system is a set of parameter-d
ependent delay differential equations. Numerical bifurcation analysis is us
ed to study this model and investigate whether the positive results obtaine
d for the first-order model persist, even for larger values of the delay.